This research examined whether succeeded and failed venture firms actually differ in variables that studied to determine the success and failure factors of high tech ventures previously. This study reinvestigated 116 venture firms that had been examined on March, 1997 and analyzed 87 firms except companies whose financial information could not be gained. Based on financial performance, succeeded and failed venture firms were classified. Bivariate statistics was used to compare the characteristics of succeeded and failed venture firms. In addition, discriminant analysis was used to distinguish the succeeded and failed firms. Results of discriminant analysis revealed that succeeded firms made significantly greater use of only three variables: entrepreneur's experience, cost leadership and technology differentiation strategy. These results suggest that entrepreneur's experience and strategy can play an important role in determining the success or failure of venture firms.

The objective of this study is to examine the efficiency and the changes in productivity of the venture capital industry after 1999 by employing data envelopment analysis. The productivity changes will be decomposed into three components such as pure efficiency change, scale efficiency change and technological change. The efficiency is declined continuously from 1999 to 2002, but the venture capital industry for 2002 experienced increase in the productivity, which can be mainly attributed to the scale efficiency change including the technical change.

This study investigates the relationship between cooperation in a venture business and large firms network and dependence, coercive, and noncoercive bases of power, trust.
Results indicate that noncoercive bases of power and trust have a positive impact on cooperation, while dependence and coercive bases of power have a negative impact on cooperation.
Several strategies and suggestions for increasing cooperation within interorganization channels are inferred from the results.

This study hypothesized an internet EC performance model in which internet EC operating strategies affect EC firms' performance. The strategies are hypothesized to have affecting factors of business and technical environments and managers' IT characteristics. Data showed that companies of higher technical environment (higher managers' knowledge and skills of IT) are less (more) likely to adopt an EC operating strategy of increasing market share. Results also showed that companies of higher competitive environment (higher R & D costs) are more likely to adopt an EC operating strategy of decreasing expenses. Both operating strategies significantly affect firms' financial performance but quality performance.

The purpose of this study is to identify the determinants of new venture performance in the view of integrated research framework.
To set up research model, the previous researches on new venture performance model has been examined thoroughly. We propose the integrated model with the independent variables of entrepreneur, organization/resources, industrial environment, strategy/foundation process and availability of supporting systems.
The determinants of new venture performance are identified through the multiple regression analysis with the data gathered from 110 executives of venture companies.
The results show that entrepreneur's managerial ability and industry expertise, level of firm's resource and technology, systematic foundation process, opportunities of industrial environments and availability of supporting systems affect positively performance of ventures, whereas, potential of business items affects negatively.
Though this study has limitation of small sample, limited questionnaire and performance measure, it has contribution of identifying determinants of new venture performance with the integrated frame of study.

The purpose of this study is to develop a plan for constructing an organic cooperation system to enable industry, universities and the government to work together to create and develop successful venture firms at Korean technoparks.
In order to create a plan we should analyze cooperation among industry, universities and the government in terms of how to operate the technopark projects in Korea. As part of this study, a questionnaire survey on the current state of cooperation among industry, universities and the government was distributed to the leaders of the six model technoparks.
Through this study, we believe that the technopark construction projects will successfully play a role in establishing a regional innovation system (RIS) for the development of regional high-tech industry in Korea.
To successfully construct technoparks in Korea, the government should restructure the current process, in order to encourage universities to cooperate. As well, local governments should increase investment in scientific and technical projects. In addition, the operators of technoparks should be capable of directing and coordinating the roles of the central government, local governments, industry and universities with a long-term vision in mind.